Abstract
In this article we have presented a mechanism of antigen transformation as it occurs in the natural system. Using this mechanism as a base the article has defined paradigms which were used to determine the architecture of the decentralized artificial immune network. The achievements results have been shown that the proposed learning mechanisms and the decentralized architecture consisting of computational nodes is calibrated and it can be successfully used in the distributed computational environments such as Grid and Clusters systems.
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Święcicki, M. (2008). An Algorithm of Decentralized Artificial Immune Network and Its Implementation. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_41
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DOI: https://doi.org/10.1007/978-3-540-87881-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87880-3
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